Spectral analysis of nonuniformly spaced data using least square method

Jinhwan Koh, Tapan K. Sarkar

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


The current study investigates an unevenly spaced spectrum using a least square method. The well known Lomb periodogram approach has many benefits, yet it cannot resolve positive and negative frequencies. Using a modified scheme, positive and negative frequencies were discerned without losing any of the benefits of a Lomb periodogram. One of the properties of the periodogram approach is the relationship between the coefficients, i.e., the Hilbert transformation pair. By utilizing this property, the processing time was reduced by half.

Original languageEnglish (US)
Pages (from-to)44-55
Number of pages12
JournalDigital Signal Processing: A Review Journal
Issue number1
StatePublished - Jan 2005


  • Hilbert transform
  • Least square method
  • Periodogram
  • Unevenly sampled spectrum

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Statistics, Probability and Uncertainty
  • Computational Theory and Mathematics


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